The End of Moore's Law and the Future of Computing PerformanceThe Automobile Industry Parallel* 1960s: Focus on power over efficiency (muscle cars, gas guzzlers) * Evolution through Japanese efficiency, turbocharging, to electric vehicles * Similar pattern now happening in computing
The Python Performance Crisis* Matrix multiplication example: 7 hours vs 0.5 seconds * 60,000x performance difference through optimization * Demonstrates massive inefficiencies in modern languages * Industry was misled by Moore's Law into deprioritizing performance
Performance Improvement Hierarchy1. Language Choice Improvements:
* Java: 11x faster than Python
* C: 50x faster than Python
* Why stop at C-level performance?
Additional Optimization Layers:
The New Reality in 2025* Moore's Law's automatic performance gains are gone * LLMs make code generation easier but not necessarily better * Need experts who understand performance optimization * Pushing for "faster than C" as the new standard
Future Directions* Modern compiled languages gaining attention (Rust, Go, Zig) * Example: 16KB Zig web server in Docker * Rethinking architectures: + Microservices with tiny containers + WebAssembly over JavaScript + Performance-first design
Key Paradigm Shifts* Developer time no longer prioritized over runtime * Production code should never be slower than C * Single-stack ownership enables optimization * Need for coordinated improvement across: + Language design + Algorithms + Hardware architecture
Looking Forward* Shift from interpreted to modern compiled languages * Performance engineering becoming critical skill * Domain-specific hardware acceleration * Integrated approach to performance optimization
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